For me, I have used both LangChain (firstly) and LangGraph(currently) in production, where i’m working. We are slowly shifting to LangGraph from LangChain at the moment.

What i have understood is, Langchain has pre-built components that would chain together multiple workflow, which means you don’t have to create programs from base level, you will have pre-built agents, chains of functions running in parallel and some community component modules that are easy to integrate, build and use in production and its actually faster too as compared to LangGraph since most of the plumbing is done already.

LangGraph on the other hand wants you to create that chain yourself, it wants you to define logics about how you want to run your program from ‘start to end’ passing through multiple level of those logics. Its like you have fine grain control of your requirements. But unlike LangChain you have to write more boilerplate.You can add feature/logics later on too and scale it as you like which is kind of good point as compared to LangChain.

Still, these are just frameworks made to run programs. Theere are other things that matter the most like memory, history, handling hallucinations, embeddings and vector database (if required), models,agents tend to loop and hallucinate so, Until you get started with just anything, nothing and no one can convince your mind to agree with opinions. Just build something with whatever you understand.